Applying the UTAUT2 framework to patients' attitudes toward healthcare task shifting with artificial intelligence
Abstract Background Increasing patient loads, healthcare inflation and ageing population have put pressure on the healthcare system. Artificial intelligence and machine learning innovations can aid in task shifting to help healthcare systems remain efficient and cost effective. To gain an understand...
Saved in:
Main Authors: | Weiting Huang (Author), Wen Chong Ong (Author), Mark Kei Fong Wong (Author), Eddie Yin Kwee Ng (Author), Tracy Koh (Author), Chanchal Chandramouli (Author), Choon Ta Ng (Author), Yoran Hummel (Author), Feiqiong Huang (Author), Carolyn Su Ping Lam (Author), Jasper Tromp (Author) |
---|---|
Format: | Book |
Published: |
BMC,
2024-04-01T00:00:00Z.
|
Subjects: | |
Online Access: | Connect to this object online. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Meta-Analysis of UTAUT in the Sports Field
by: Taejung Kim
Published: (2023) -
Polypill Eligibility for Patients with Heart Failure with Reduced Ejection Fraction in the ASIAN-HF Registry: A Cross-Sectional Analysis
by: Aishwarya Vijay, et al.
Published: (2023) -
Why students use social networks for education: Extension of UTAUT2
by: Ala'a Abu Gharrah, et al.
Published: (2021) -
Factors influencing the continuance intention of the women's health WeChat public account: an integrated model of UTAUT2 and HBM
by: Hewei Min, et al.
Published: (2024) -
Understanding older adults' acceptance of Chatbots in healthcare delivery: an extended UTAUT model
by: Shulan Yu, et al.
Published: (2024)